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Battle Royale Optimization with Fuzzy Deep Learning for Arabic Sentiment Classification

Computer Systems Science & Engineering 2023年第8期46卷 2619-2635页

作者： Manar Ahmed Hamza Hala J.Alshahrani Jaber S.Alzahrani Heba Mohsen Mohamed i.Eldesouki mohammed Rizwanullah Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkah 24211Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Aspect-Based Sentiment Analysis(ABSA)on Arabic corpus has become an active research topic in recent *** refers to a fine-grained Sentiment Analysis(SA)task that focuses on the extraction of the conferred aspects and the identification of respective sentiment polarity from the provided *** of the prevailing Arabic ABSA techniques heavily depend upon dreary feature-engineering and pre-processing tasks and utilize external sources such as *** literature,concerning the Arabic language text analysis,the authors made use of regular Machine Learning(ML)techniques that rely on a group of rare sources and *** sources were used for processing and analyzing the Arabic language content like ***,an important challenge in this domain is the unavailability of sufficient and reliable *** this background,the current study introduces a new Battle Royale Optimization with Fuzzy Deep Learning for Arabic Aspect Based Sentiment Classification(BROFDL-AASC)*** aim of the presented BROFDL-AASC model is to detect and classify the sentiments in the Arabic *** the presented BROFDL-AASC model,data pre-processing is performed at first to convert the input data into a useful ***,the BROFDL-AASC model includes Discriminative Fuzzy-based Restricted Boltzmann Machine(DFRBM)model for the identification and categorization of ***,the BRO algorithm is exploited for optimal fine-tuning of the hyperparameters related to the FBRBM *** scenario establishes the novelty of current *** performance of the proposed BROFDL-AASC model was validated and the outcomes demonstrate the supremacy of BROFDL-AASC model over other existing models.

关键词： Arabic corpus aspect based sentiment analysis arabic language deep learning battle royale optimization natural language processing

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Sepsis during short bowel syndrome hospitalizations:identifying trends,disparities,and clinical outcomes in the United States

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World Journal of Gastrointestinal Pathophysiology 2024年第1期15卷 26-36页

作者： Dushyant Singh Dahiya Jennifer Wachala Shantanu Solanki Dhanshree Solanki Asim Kichloo Samantha Holcomb Uvesh Mansuri Khwaja Saad Haq Hassam Ali Manesh Kumar Gangwani Yash R Shah Teresa Varghese Hafiz Muzaffar Akbar Khan Simon Peter Horslen Thomas D Schiano Syed-mohammed Jafri Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of internal Medicine Samaritan Medical CenterWatertownNY 13601United States Division of Gastroenterology Hepatology&Nutrition The University of Texas MD Anderson Cancer CenterHoustonTX 77030United States Department of Medicine Institute for Foreign Medical Graduate EducationHoustonTX 77030United States Department of internal Medicine MedStar Harbor HospitalBaltimoreMD 21225United States Department of internal Medicine WellStar Spalding Regional HospitalGriffinGA 30224United States Division of Gastroenterology Hepatology and NutritionEast Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Gastroenterology and Hepatology University of Arkansas for Medical SciencesLittle RockAR 72205United States Department of internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology SUNY Upstate Medical UniversitySyracuseNY 13210United States Department of Pediatrics School of Medicine and UPMC Children’s Hospital of PittsburghUniversity of PittsburghPittsburghPA 15219United States Division of Liver Diseases Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Division of Gastroenterology and Hepatology Henry Ford HospitalDetroitMI 48202United States

BACKGROUND Short bowel syndrome(SBS)hospitalizations are often complicated with *** is a significant paucity of data on adult SBS hospitalizations in the United States and across the *** To assess trends and outcomes of SBS hospitalizations complicated by sepsis in the United *** The National inpatient Sample was utilized to identify all adult SBS hospitalizations between *** study cohort was further divided based on the presence or absence of *** were identified,and hospitalization characteristics and clinical outcomes were *** of mortality for SBS hospitalizations complicated with sepsis were *** Of 247097 SBS hospitalizations,21.7%were complicated by *** SBS hospitalizations had a rising trend of hospitalizations from 20.8%in 2005 to 23.5%in 2014(P trendic SBS hospitalizations,septic SBS hospitalizations had a higher proportion of males(32.8%vs 29.3%,Pients in the 35-49(45.9%vs 42.5%,Pic minorities,i.e.,Blacks(12.4%vs 11.3%,Pispanics(6.7%vs 5.5%,Pic SBS hospitalizations had a higher proportion of patients with intestinal transplantation(0.33%vs 0.22%,Pinpatient mortality(8.5%vs 1.4%,Pis cohort.A younger age,female gender,White race,and presence of comorbidities such as anemia and depression were identified to be independent predictors of inpatient mortality for septic SBS *** Septic SBS hospitalizations had a rising trend between 2005-2014 and were associated with higher inpatient mortality compared to non-septic SBS hospitalizations.

关键词： Short bowel syndrome Sepsis Outcomes Mortality Trends

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Percutaneous aspiration and drainage with adjuvant medical therapy for treatment of hepatic hydatid cysts

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World Journal of Gastroenterology 2011年第5期17卷 646-650页

作者： mohammed i Yasawy Abdelrahman E mohammed Sammak Bassam mohammed A Karawi Sohail Shariq Department of internal Medicine Dammam University HospitalAl-Khobar 31952Saudi Arabia Consultant Gastroenterologist Riyadh Military HospitalRiyadh 11159Saudi Arabia Department of Radiology Riyadh Military HospitalRiyadh 11159Saudi Arabia Department of Gastroenterology Riyadh Military HospitalRiyadh 11159Saudi Arabia Department of internal Medicine King Fahd Military Medical ComplexDhahran 31932Saudi Arabia

AiM:To determine the efficacy and success of percutaneous aspiration irrigation and reaspiration(PAiR) in the management of hepatic ***:Twenty-six patients with 32 hepatic hydatid cysts had ***-two patients received at least 2 wk of drug therapy before the procedure was carried out to reduce the risk of recurrence from spillage during the *** procedure was performed under local anesthesia with a 19-gauge 20 cm long needle,the cyst was punctured,cystic content(approximately 30 mL) was aspirated by a 12-14 F pigtail catheter and aspirated fluids were sent for *** the cyst was almost empty,two-thirds of the net amount of material aspirated was replaced by hypertonic saline and left in the cavity for about 30 min,with the catheter left in place for reaspiration of most of the *** the amount of fluid drained was less than 10 mL per 24 h,the drainage catheter was ***:All 32 cysts showed evidence of immediate collapse after completion of the procedure,and before discharge from hospital,ultrasound examination showed fluid reaccumulation in all *** follow-up showed a progressive decrease in the size and change in the appearance of *** confirm the sterility of these cystic cavities,seven cysts were reaspirated on average 3 mo after the *** revealed no viable ***:PAiR using hypertonic saline is very effective and safe with proper precautions.

关键词：药物治疗囊肿抽吸肝引流手术过程高渗盐水局部麻醉

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Finite Element Analysis of Attraction-Repulsion Chemotaxis *** ii:Time Convergence,Error Analysis and Numerical Results

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Communications on Applied Mathematics and Computation 2022年第3期4卷 1057-1104页

作者： mohammed Homod Hashim Akil J.Harfash Department of Mathematics College of SciencesUniversity of BasrahBasrahIraq

in Hashim and Harfash(***.2021),using a finite element method,the attraction-repulsion chemotaxis model(P)in space is discretised;finite differences were used to do the same in ***,the existence of a global weak solution to the system(PΔt M)was demonstrated by means of analysis of the convergence of the fully discrete approximate problem(P h,Δt M,).Moreover,the functions{U,Z,V}were proved to represent a global weak solution to the system(PΔt M)by means of a passage to the limit,h→0 of the approximate *** paper’s purpose is to demonstrate that the solutions can be bounded,independent of *** analysis contained in this paper illustrates the idea of the existence of weak solutions to the model(P),that requires passing to the limits,Δt→0+and M→∞.The time stepΔt is subsequently linked to the cutoff parameter M>1 by positing a demand thatΔt=o(M−1),as M→∞,with the result that the cutoff parameter becomes the only parameter in the problem(PΔt M).The solutions can be bounded,independ-ent of M,with the use of special energy estimates,as demonstrated ***,these M-independent bounds on the relative entropy are employed with the purpose of deriving M-independent bounds on the ***,compactness arguments were utilised to explore the convergence of the finite element approximate *** conclu-sion was that a weak solution for(P)***,we introduced the error estimate and the implicit scheme was used to perform simulations in one and two space dimensions.

关键词： Finite element Chemotaxis Convergence Weak solution

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Cuckoo Optimized Convolution Support Vector Machine for Big Health Data Processing

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Computers, Materials & Continua 2022年第11期73卷 3039-3055页

作者： Eatedal Alabdulkreem Jaber S.Alzahrani Majdy M.Eltahir Abdullah Mohamed Manar Ahmed Hamza Abdelwahed Motwakel Mohamed i.Eldesouki mohammed Rizwanullah Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Department of information Systems College of Science&Art at MahayilKing Khalid UniversityAbha 62529Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of information System College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlKharj16278Saudi Arabia

Big health data collection and storing for further analysis is a challenging task because this knowledge is big and has many *** cloud-based ioT health providers have been described in the literature ***,there are a number of issues related to time consumed and overall network performance when it comes to big data *** the existing method,less performed optimization algorithms were used for optimizing the *** the proposed method,the Chaotic Cuckoo Optimization algorithm was used for feature selection,and Convolutional Support Vector Machine(CSVM)was *** research presents a method for analyzing healthcare information that uses in future *** major goal is to take a variety of data while improving efficiency and minimizing process *** suggested method employs a hybrid method that is divided into two *** the first stage,it reduces the features by using the Chaotic Cuckoo Optimization algorithm with Levy flight,opposition-based learning,and distributor *** the second stage,CSVM is used which combines the benefits of convolutional neural network(CNN)and *** CSVM modifies CNN’s convolution product to learn hidden deep inside data *** improved economic flexibility,greater protection,greater analytics with confidentiality,and lower operating cost,the suggested approach is built on fog *** results of the experiments show that the suggested method can minimize the number of features in the datasets,enhances the accuracy by 82%,and decrease the time of the process.

关键词： Healthcare convolutional support vector machine feature selection chaotic cuckoo optimization accuracy processing time convolutional neural network

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Hybrid flexural components： Testing pre-stressed steel and GiFRP bars together as reinforcement for flexural members

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Frontiers of Structural and Civil Engineering 2018年第3期12卷 352-360页

作者： mohammed FARUQi Oved i. MATA Francisco AGUiNiGA Department of Civil and Architectural Engineering Texas A&M University Kingsville TX 77843 USA

Concrete members historically have used either pre-stressed steel or steel bars. in recent years there has been an increased interest in the use of fiber reinforced polymer （FRP） materials. However, the flexure behavior of a hybrid system reinforced by the combination of pre-stressed steel and glass fiber reinforced （GFRP） is still relatively unknown. The purpose of this work is to study this. Two slabs of 100 and 150-millimeter thickness, with a span of 2.1 m reinforced with both pre-stressing steel and GFRP were constructed and tested to failure using ACi 318-11 and ACi 440.1 R-15. The concrete had strength of 31 MPa and the slabs were respectively reinforced with 5#4 bars and 3#5 bars. Each slab had 37.41 mm2 prestressing wire with a failure stress of 1722.5 MPa. The experimental flexural strength and deflection of slabs were compared with their respective sizes theoretical slabs. The theoretical slabs were either reinforced with pre-stressed steel or GFRP rebars, or a hybrid system. it was found that the hybrid system produces better results.

关键词： Partial pre-stressing composite structures GFRP bars

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Beyond 5G Networks: integration of Communication, Computing, Caching, and Control

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China Communications 2023年第7期20卷 137-174页

作者： Musbahu mohammed Adam Liqiang Zhao Kezhi Wang Zhu Han State Key Laboratory of integrated Service Networks Xidian UniversityXi’an 710071China Department of Computer and information Sciences Northumbria UniversityNewcastle upon TyneUK Department of Electrical and Computer Engineering University of HoustonHoustonTX 77004 USAand also with the Department of Computer Science and EngineeringKyung Hee UniversitySeoul 02447 South Korea

in recent years,the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular *** challenges can be potentially overcome by integrating communication,computing,caching,and control(i4C)*** this survey,we first give a snapshot of different aspects of the i4C,comprising background,motivation,leading technological enablers,potential applications,and use ***,we describe different models of communication,computing,caching,and control(4C)to lay the foundation of the integration *** review current stateof-the-art research efforts related to the i4C,focusing on recent trends of both conventional and artificial intelligence(Ai)-based integration *** also highlight the need for intelligence in resources ***,we discuss the integration of sensing and communication(iSAC)and classify the integration approaches into various ***,we propose open challenges and present future research directions for beyond 5G networks,such as 6G.

关键词： 4C 6G integration of communication,computing,caching,and control i4C multi-access edge computing(MEC)

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investigating the Effects of Eichhornia Crassipes Biodiesel and Liquefied Petroleum Gas on the Performance and Emissions of a Dual-Fuel Engine

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Fluid Dynamics & Materials Processing 2023年第9期19卷 2329-2343页

作者： Hawraa S.mohammed Mahmoud A.Mashkour Mechanical Engineering Department University of Technology-IraqBagdadIraq

This study considers the effect of Eichhornia Crassipes Biodiesel(ECB)blends on the performances,combustion,and emission characteristics of a direct injection compression ignition engine operated in a dual-fuel mode(DFM)and equipped with an Exhaust gas recirculation technique(EGR).in particular,a single-cylinder,four-stroke,water-cooled diesel engine was utilized and four modes of fuel operation were considered:mode i,the engine operated with an ordinary diesel fuel;mode ii,the engine operated with the addition of 2.4 L/min of lique-ﬁed petroleum gas(LPG)and 20%EGR;mode iii,20%ECB with 2.4 L/min LPG and 20%EGR;mode iV,40%ECB with 2.4 L/min LPG and 20%*** operation conditions were constant engine speed(1500 rpm),var-iation of load(25%,50%,75%,and 100%),full load,with a compression ratio of 18,and a time injection of 23°BTDC(Before top died center).With regard to engine emissions,carbon dioxide(CO_(2)),carbon monoxide(CO),hydrocarbons(UHC),and nitrogen oxide(NOX)were measured using a gas *** smoke opacity was measured using an OPABOX smoke *** comparing the results related to the different modes with mode i at full load,the BTE(Brake thermal efﬁciency)increased by 20.17%,11.45%,and 12.66%with modes ii,iii,and iV,*** comparison to the results for mode ii,the BTE decreased due to the combustion of ECB blends by 7.26%and 6.24%for mode iii and mode iV,respectively,at full *** comparison to mode ii,the Brake speciﬁc energy consumption(BSEC)increased with the ECB *** ECB blends,there is a noticeable decrease in the CO,CO_(2),and UHC emissions at a partial ***,the 20%ECB has no effect on CO emissions at full *** modes ii and iV,the CO_(2)increased by 33.33%and 19%,respectively,while the UHC emissions were reduced by 14.49%for mode iii and 26.08%for mode *** smoke of mode iii was lower by 7.21%,but for mode iV,it was higher by 12.37%.in addition,with mode iii and mode iV,the NOx emissions increased by 30.50%

关键词： Eichhornia Crassipes Biodiesel dual-fuel engine liqueﬁed petroleum gas combustion diesel engine brake thermal efﬁciency

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HDLiDP: A Hybrid Deep Learning intrusion Detection and Prevention Framework

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Computers, Materials & Continua 2022年第11期73卷 2293-2312页

作者： Magdy M.Fadel Sally M.El-Ghamrawy Amr M.T.Ali-Eldin mohammed K.Hassan Ali i.El-Desoky Computer Engineering and Systems Department Faculty of EngineeringMansoura UniversityMansoura35516DKEgypt Head of Communications and Computer Engineering Department MISR Higher Institute for Engineering and TechnologyMansoura35111DKEgypt Mechatronics Department Faculty of EngineeringHours University in Egypt(HUE)New Damietta34517DTEgypt

Distributed denial-of-service(DDoS)attacks are designed to interrupt network services such as email servers and webpages in traditional computer ***,the enormous number of connected devices makes it difficult to operate such a network *** defined networks(SDN)are networks that are managed through a centralized control system,according to *** controller is the brain of any SDN,composing the forwarding table of all data plane network *** the advantages of SDN controllers,DDoS attacks are easier to perpetrate than on traditional *** the controller is a single point of failure,if it fails,the entire network will *** paper offers a Hybrid Deep Learning intrusion Detection and Prevention(HDLiDP)framework,which blends signature-based and deep learning neural networks to detect and prevent *** framework improves detection accuracy while addressing all of the aforementioned *** validate the framework,experiments are done on both traditional and SDN datasets;the findings demonstrate a significant improvement in classification accuracy.

关键词： Software defined networks(SDN) distributed denial of service attack(DDoS) signature-based detection whale optimization algorism(WOA) deep learning neural network classifier

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How to repair the Hill cipher

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第12期7卷 2022-2030页

作者： iSMAiL i.A. AMiN mohammed DiAB Hossam Faculty of Computers and information Zagazig University Zagazig 44511 Egypt Computer Science Department Faculty of Science Menoufiya University Shebeen El-kom 32511 Egypt

The Hill cipher algorithm is one of the symmetric key algorithms that have several advantages in data encryption. However, a main drawback of this algorithm is that it encrypts identical plaintext blocks to identical ciphertext blocks and cannot encrypt images that contain large areas of a single color. Thus, it does not hide all features of the image which reveals patterns in the plaintext. Moreover, it can be easily broken with a known plaintext attack revealing weak security. This paper presents a variant of the Hill cipher that overcomes these disadvantages. The proposed technique adjusts the encryption key to form a dif- ferent key for each block encryption. Visually and computationally, experimental results demonstrate that the proposed variant yields higher security and significantly superior encryption quality compared to the original one.

关键词： Hill密码图像编码修正编码质量

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